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relativistic quantum information (RQI). This highly challenging PhD experience will offer you the chance to work on world-class research combining quantum information theory with key aspects of quantum field
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be closed when the right PhD candidates are selected Application will be closed when the right PhD candidates are selected One (1) One (1) To be eligible for this scholarship you must: Have a Master by
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which the training data sampled. This PhD study will address this research challenge. At a glance Application deadline: Ongoing Duration of award: 3 years Eligibility: EU, UK Reference number: CRAN1148
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The Department of Computer Science at Aalborg University has a fully funded PhD position available within the Computer Science study programme. The PhD position is for a period of three years and is
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overseas. Training can be provided in computational fluid dynamics, machine learning, and nonlinear dynamics. These skills are highly valued across a wide range of industries. Recent data reveals that Fluid
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data sources to answer important population-level questions that will inform health technology assessment, policy, and practice. The successful PhD student will be embedded within an interdisciplinary
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Your job Are you looking for a PhD and interested in quantitative genomics? Do you want to develop innovative solutions for accurate and unbiased genomic evaluations? Then, this PhD vacancy may be
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. The Department of Informatics is recruiting a PhD student for a fixed-term employment of four years starting in
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Are you passionate about applying computational approaches to solve problems within chemistry and biology? We are now looking for an Industrial PhD student in Data-Driven Life Sciences to work on a
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. This PhD will suit candidates with backgrounds in psychology, cognitive science, linguistics, or data science, with experience coding in R or Python, natural language processing, and experimental design